Proceedings of Business and Economic Studies

Current Situation of Urban Energy Consumption Under the Digital Economy Model

Yun Huang, Tao Qian — Wed, 05 Nov 2025 09:41:22 +0800

The digital economy has injected continuous momentum into the development of urban economy and plays a positive and important role in the transformation and upgrading of urban energy consumption. Specifically, the digital economy can significantly improve the efficiency of urban energy consumption by virtue of its distinctive characteristics of low pollution and high efficiency. Moreover, empowered by the digital economy, the pace of transformation and upgrading of high-pollution traditional industries has been accelerated. Particularly importantly, the urban energy consumption structure has been optimized and adjusted through the indirect role of intermediate factors. From this perspective, studying the current situation and countermeasures of urban energy consumption under the digital economy holds important practical significance both in theory and practice. This paper first briefly summarizes the relevant literature on the impact of the digital economy on the energy consumption structure; then, it focuses on detailed data to explore the current situation of urban energy consumption under the digital economy model; finally, based on the summary of the current situation, it puts forward practical and feasible suggestions, hoping to provide a decision-making basis for the implementation of policies in different types of cities and offer innovative ideas for promoting the high-quality development of urban energy systems.

The Effect of Income on Household Time Allocation Among Chinese Couples

Junchi Ma — Wed, 05 Nov 2025 09:45:17 +0800

Gender equalization has progressed considerably in all areas but has prolonged domestic work. Previous research suggests that income is essential in the distribution of time spent on housework between couples. However, there is still debate about how income works within Chinese households. Therefore, it is necessary to study how income influences the time spent on housework by Chinese couples. This paper uses data from The China Family Panel Studies (CFPS) in 2022 and selected married two-income households aged 18-65 as our study population. Based on the results of the study and the Nash cooperative game ‘divorce-threat’ model, the hypotheses were then regressed using the Tobit model. Robustness tests were then conducted using the OLS regression model and the replacement variables method. Finally, the impact of income on the distribution of household work time of Chinese couples was analyzed, followed by conclusions. Firstly, the allocation of housework time during working days is influenced by income factors, while the distribution of housework time on rest days is not influenced by income. Secondly, individual income is negatively related to own time spent on housework, while the spouse’s income is positively associated with wife/husband time. Thirdly, the wife’s relative income is “U” shaped, and the relative gain of the husband is “inverted U” shaped.

Research on the “Double Helix” Model of Strategic Human Resource Management in the VUCA Era

Yunchao Xia — Wed, 05 Nov 2025 09:48:30 +0800

Enterprises are facing problems such as the dynamic matching of talents and strategies, and the construction of organizational resilience. Based on this, this paper deeply explores the significance of the research on the “Double Helix” model of strategic human resource management in the VUCA era and the practical construction of the “Double Helix” model: the implementation path of key dimensions, aiming to achieve the coordinated progress of the two through strategies such as improving talent density, forging organizational resilience, and promoting the coordinated integration mechanism of the Double Helix, so as to provide scientific human resource management strategies for enterprises, help enterprises enhance their competitiveness in a complex and changeable environment, and achieve sustainable development.

Analysis of Enterprise Leadership Enhancement Strategies in the Generative AI Era

Shan He — Wed, 05 Nov 2025 09:54:16 +0800

Currently, the transformation and upgrading of digitalization have become a new task that enterprises urgently need to address. To further enhance the leadership of enterprise leaders, relevant enterprise staff should face up to the infinite possibilities that generative AI brings to enterprise management. Based on this, this paper will briefly analyze the value connotation of generative AI empowering the improvement of enterprise leadership and the relevant influencing factors, and discuss the strategies for enhancing enterprise leadership in the generative AI era, in order to promote the smooth progress of enterprises’ digital transformation and upgrading.

Digital Dissemination and Consumption of Cultural Symbols in Lingnan’s Traditional Villages

Xinrui Cai — Wed, 05 Nov 2025 09:56:57 +0800

Ancient villages in Lingnan serve as crucial carriers of Lingnan culture. Their abundant cultural symbols now face the dual task of inheritance and innovation in the digital era. Drawing on Stuart Hall’s encoding/decoding theory, this study explores how representative cultural symbols of Lingnan’s ancient villages are digitally translated and disseminated. By analyzing specific cases, it elucidates the logic of audience interaction and consumption during the decoding of these digital cultural symbols. This study aims to offer valuable insights for revitalizing ancient village culture and informing its sustainable industrial development.

Analysis of Optimizing Digital Marketing Strategies for EdTech Product Sales in Emerging International Markets

Tao Wang — Wed, 05 Nov 2025 10:07:39 +0800

Against the backdrop of deepening globalization and digital integration, emerging international markets, characterized by large populations, rapidly growing educational demands, and progressively upgraded digital infrastructure, have become pivotal hubs for educational technology (EdTech) enterprises to expand their global presence. However, the unique characteristics of these markets, including cultural diversity, divergent consumer behaviors, and uneven digital maturity, pose challenges to traditional digital marketing strategies. This results in EdTech products facing issues such as inefficient user acquisition, insufficient brand awareness, and suboptimal conversion rates. To address these challenges, this paper focuses on optimizing digital marketing strategies for EdTech product sales in emerging international markets. This paper focuses on the optimization of digital marketing strategies for Ed Tech product sales in emerging international markets. Through analyzing the pain points in the application of current strategies, this paper proposes a systematic optimization path from four dimensions: localized content construction, multi-channel coordination and integration, user life cycle operation, and data-driven decision making.

Digital Economy Empowering New Quality Productive Forces: A Review and Implications

Qu Bing — Wed, 05 Nov 2025 10:18:37 +0800

Currently, driven by the accelerated iteration of digital technologies such as big data, cloud computing, and artificial intelligence, the digital economy has become a crucial engine for generating new quality productive forces and promoting industrial upgrading. Building on a systematic review of the theoretical evolution and measurement methods of the digital economy and new quality productive forces, this paper outlines their enabling mechanisms, industrial synergy pathways, and policy practices, and summarizes regional disparities and spatial spillover effects. The main findings are as follows: First, the digital economy reshapes the traditional factor structure and significantly enhances total factor productivity through the permeation of data elements and technological innovation; Second, driven jointly by the consumer internet and the industrial internet, it optimizes supply–demand matching and service models while reducing operating costs and improving production efficiency; Third, policy environments and institutional coordination amplify the enabling effects, as evidenced notably in national big-data pilot zones and the “East Data West Computing” initiative. Looking ahead, empirical research should deepen the exploration of micro-level mechanisms and dynamic panel analyses, construct a measurement system of new quality productive forces that spans macro, meso, and micro scales, and investigate pathways for regional collaborative governance and green digital integration to address the complex challenges of the new era.

Research on the Impact of the Construction of Cross-border E-commerce Comprehensive Pilot Zones on China’s Export Transformation and Upgrading

Jiahui Zhao — Wed, 05 Nov 2025 10:21:44 +0800

Cross-border e-commerce has emerged as a new growth point in foreign trade. While the Dalian comprehensive pilot zone has made some progress, its development is constrained by issues such as the global economic slowdown, the relatively small scale of cross-border e-commerce, a high concentration of export commodities, imperfect information mechanisms, and high overall costs. To address these challenges, this paper explores the importance of the construction of the Dalian comprehensive pilot zone for cross-border e-commerce to the transformation and upgrading of exports. Based on my research project, “Research on Path Optimization of Financial Support for the Development of Advanced Manufacturing Clusters in Dalian,” this paper analyzes the current challenges and limiting factors and proposes corresponding countermeasures and suggestions.

Acceptance of Intelligent Interviews by College Graduates Under AI Empowerment: An SEM Approach

Yujing Wan — Wed, 05 Nov 2025 17:07:23 +0800

The Master Intelligent interview is based on the Stimulus-Organism-Response (SOR) theory, this study integrates key constructs from the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), namely attitude and behavioral intention, to develop a dual-path model of how AI empowerment influences college graduates’ acceptance of intelligent interview technology. Taking AI empowerment as the independent variable, perceived risk and attitude as mediating variables, and behavioral intention as the outcome variable, the study employs questionnaire surveys and structural equation modeling (SEM) for empirical analysis. The results show that AI empowerment exerts a significant positive impact on attitude, perceived risk, and behavioral intention. Both perceived risk and attitude play significant mediating roles between AI empowerment and behavioral intention. Interestingly, perceived risk does not suppress behavioral intention; instead, it positively promotes it through a “rational trade-off” mechanism. Moreover, perceived risk and attitude form a significant chain-mediated pathway, revealing a continuous psychological transmission mechanism of “rational cognition-emotional adjustment-behavioral decision-making”. This study enriches the theoretical framework of AI technology acceptance, extends the application of the SOR model to the context of intelligent recruitment, and provides valuable implications for optimizing university career guidance and enterprise recruitment systems.